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The team making sure Pyto works for you.
See how teams like yours put Pyto to work.
Built for teams with complex qualification needs.
How our customers use Pyto.
Insights on inbound and voice AI.
The team behind Pyto.
Enterprise-grade security, by default.
Everything you need to qualify more inbound leads, faster, at scale, without adding headcount.
Bland AI gets purchased by sales teams who then spend six months wondering why their numbers don't move. This honest review covers what Bland AI does well, where it falls short for outbound B2B sales, and who should — and shouldn't — be evaluating it.
Most inbound conversion improvement efforts focus on the wrong end of the funnel. The conversion problem is downstream, in what happens after the lead submits their information. This article covers the three root causes and how voice AI fixes each one.
Most SDR cost comparisons stop at base salary. This article builds the full picture, $126K per SDR per year in the US, fully loaded, and maps exactly where AI qualification economics outperform the human model, and where they don't.
SumUp's inbound volume was growing faster than their SDR team could handle. After deploying Pyto's voice AI for first-touch qualification across 8 markets, SQL conversion improved by 91%, primarily because every lead was now being reached within seconds, not hours.
Most voice AI vendors blur the line between contact center automation and outbound sales AI. This article explains the five real differences, direction, goal, metrics, infrastructure, and optimization target, so you buy the right tool for the right problem.
At 10 calls a day, slow AMD is a minor inconvenience. At 10,000 calls a month, it's a revenue problem. This article explains how answering machine detection works, why off-the-shelf solutions fall short at scale, and what purpose-built AMD actually delivers.
